A priority-based service placement policy for Fog-Cloud computing systems

Document Type : Research Paper

Authors

1 Department of Computer Engineering, Faculty of Engineering, University of Kurdistan

2 Department of Computer Engineering and IT, University of Qom, Qom, Iran

3 Department of Computer Science, Ryerson University, Toronto, Canada.

Abstract

Recent advances in the context of Internet of Things (IoT) have led to the emergence of many useful IoT applications with different Quality of Service (QoS) requirements. The fog-cloud computing systems offer a promising environment to provision resources for IoT application services. However, providing an efficient solution to service placement problem in such systems is a critical challenge. To address this challenge, in this paper, we propose a QoS-aware service placement policy for fog-cloud computing systems that places the most delay-sensitive application services as closer to the clients as possible. We validate our proposed algorithm in the iFogSim simulator. Results demonstrate that our algorithm achieves significant improvement in terms of service latency and execution cost compared to simulators built-in policies.

Keywords

Computational Methods for Differential Equations
Volume 7, Issue 4 (Special Issue)
Selected Papers of ICNS2019 (4th International Conference on Natural Sciences -Mathematics & Computer)
August 2019
Pages 521-534

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History

  • Receive Date: 26 June 2019
  • Revise Date: 26 August 2019
  • Accept Date: 26 July 2019

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